Title :
An Ant System optimization QoS routing algorithm for wireless sensor networks
Author :
Shang, Fengjun ; Wang, Yin
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
Routing of sensor data has been one of the challenging areas in wireless sensor network, specially being in QoS routing. In this paper, a QoS routing algorithm (APAS) with adaptive parameters based on Max-Min Ant System(MMAS) Algorithm is presented. The performance of algorithm is improved by the adaptive pheromone and evaporation coefficient. Furthermore, to save energy consumption, the beamed broadcasting is introduced, the node of energy changed only need announce the necessary neighbors. The simulation for APAS shows that the improved algorithm can improve search QoS routing and extend network lifetime.
Keywords :
minimax techniques; quality of service; telecommunication network routing; wireless sensor networks; adaptive pheromone coefficient; evaporation coefficient; max-min ant system; network lifetime; quality of service routing; wireless sensor networks; Adaptation model; Biological system modeling; Quality of service; Routing;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location :
Suzhou, Jiangsu
Print_ISBN :
978-1-4244-6334-3
DOI :
10.1109/IWACI.2010.5585117